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Corruption of the “American Dream” in Death of a Salesman: A Thematic Analysis of Arthur Miller’s Death of a Salesman

2010· article· en· W1958252452 on OpenAlexvenueno aff
Zhao Juan

Bibliographic record

VenueCross-cultural communication · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Studies and Interdisciplinary Research
Canadian institutionsnot available
Fundersnot available
KeywordsMillerDreamDramaTragedy (event)MythologyHEROLanguage changeHistoryLawLiteraturePolitical scienceArtPsychology

Abstract

fetched live from OpenAlex

Arthur Miller published his most famous work Death of a Salesman in 1949. This play received numerous awards for its literary merit, including the Pulitzer Prize for drama and it is regarded by many critics as the perfect embodiment of the modern American drama. Willy Loman, the hero of the play, is caught-up in the “American Dream” which consists of a genuine and determined belief that in America all things are possible to all men regardless of birth or wealth. If you work hard enough you will achieve anything. However, Miller believes that people have been ultimately misguided and Miller’s play, Death of a Salesman, is a moving destruction of the whole myth.Key words: Death of a Salesman; American Dream; corruption; tragedy

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0180.021
Scholarly communication0.0060.005
Open science0.0010.004
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.075
GPT teacher head0.376
Teacher spread0.301 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2010
Admission routes1
Has abstractyes

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